Statistical genetics and its application to neuroimmunology

Statistical genetics and its application to neuroimmunology
Ogawa, Kotaro; Okada, Yukinori
2018-01-01 00:00:00
Statistical genetics is a field involving the analysis of genetic data. With the development of next‐generation sequencing and single‐nucleotide polymorphism microarrays, the amount of genetic data is increasing rapidly. Genome‐wide association studies are one example of the successful application of an approach based on statistical genetics. To shed light on neuroinflammatory diseases, such as multiple sclerosis, >100 000 people have been enrolled in the genome‐wide association study meta‐analysis, and 200 loci associated with multiple sclerosis have been detected. To utilize these genetic data for clinical medicine, development of novel methods of statistical genetics is warranted. Human leukocyte antigen imputation and in silico drug repositioning are good examples of such approaches.
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Abstract

Statistical genetics is a field involving the analysis of genetic data. With the development of next‐generation sequencing and single‐nucleotide polymorphism microarrays, the amount of genetic data is increasing rapidly. Genome‐wide association studies are one example of the successful application of an approach based on statistical genetics. To shed light on neuroinflammatory diseases, such as multiple sclerosis, >100 000 people have been enrolled in the genome‐wide association study meta‐analysis, and 200 loci associated with multiple sclerosis have been detected. To utilize these genetic data for clinical medicine, development of novel methods of statistical genetics is warranted. Human leukocyte antigen imputation and in silico drug repositioning are good examples of such approaches.

Journal

Clinical and Experimental Neuroimmunology
– Wiley

Published: Jan 1, 2018

Keywords: ; ; ; ;

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